How to Scrape 4 Million Research Papers

Authors: Alex Chan
Cited by: 0

Abstract

What does it take to scrape 4 million research papers? More patience than code. This talk distills hard-won lessons from building an instrument extraction pipeline across the chemistry literature. We'll cover the problem space—why existing research databases lack the structured metadata we needed—and the technical approach combining OpenAlex, PDF scraping, and AI-powered extraction. But the real focus is on what went wrong and how we adapted: discovering misclassified documents, learning to validate early and often, and accepting that data quality trumps data quantity. Attendees will leave with a practical framework for approaching large-scale research data projects and realistic expectations for timeline and effort.

Fields of Study & Subjects

Web Data Mining and Analysis Research Data Management Practices Computational and Text Analysis Methods

Publication details

Journal / source
Seton Hall University eRepository (Seton Hall University)
Publication date
11 February 2026
Language
EN